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New predictive equation for lung volume using chest computed tomography for size matching in lung transplantation

Authors
 C.H. Park  ;  T.H. Kim  ;  S. Lee  ;  H.C. Paik  ;  S.J. Haam 
Citation
 Transplantation Proceedings, Vol.47(2) : 498-503, 2015 
Journal Title
 Transplantation Proceedings 
ISSN
 0041-1345 
Issue Date
2015
MeSH
Adult ; Age Factors ; Algorithms* ; Body Height ; Body Weight ; Donor Selection* ; Female ; Humans ; Linear Models ; Lung/anatomy & histology ; Lung/diagnostic imaging* ; Lung Transplantation* ; Lung Volume Measurements/methods ; Male ; Middle Aged ; Multidetector Computed Tomography* ; Organ Size ; Predictive Value of Tests ; Retrospective Studies ; Sex Factors ; Young Adult
Abstract
PURPOSE: Lung size matching is important in lung transplantation (LT). With advances in computed tomography (CT) technology, multidetector row CT can accurately measure the thoracic cage and lung volumes. The objective of this study was to generate a new regression equation using demographic data based on the measured CT lung volume in a healthy population to predict the CT lung volume of the donor in LT size matching. MATERIALS AND METHODS: The medical records of healthy subjects who underwent chest CT scans to screen for lung cancer were retrospectively reviewed. CT lung volume was semi-automatically measured using a threshold-based auto-segmentation technique. New regression equations for CT lung volume were generated by multiple linear regression analysis using demographic data including height (H, cm), weight (W, kg), and age (A, years). The percentage error rate (%) of the equations were calculated as ([Estimated CT lung volume--Measured CT lung volume]/Measured CT lung volume × 100). A percentage error rate within ± 20% was considered acceptable. RESULTS: A total of 141 men aged 27 to 55 years (mean, 46.7 ± 6.2 years) and 128 women aged 20 to 55 years (mean, 45.4 ± 7.2 years) were enrolled. The final regression equations for CT lung volume were (-5.890 + 0.067 H - 0.030 W + 0.020 A) in men and (-6.698 + 0.072 H - 0.024 W) in women. The mean absolute error rate was 10.9 ± 9.0% and 11.0 ± 8.5% in men and women, respectively. Percentage error rates were within ± 20% in 121 of 141 (85.8%) men and 113 of 128 (88.3%) women. CONCLUSION: These equations could predict the CT lung volume of healthy subjects using demographic data. Using these equations, the predicted CT lung volume of donors could be matched to the measured CT lung volume of recipients in lung transplantation.
Full Text
http://www.sciencedirect.com/science/article/pii/S0041134515000135
DOI
10.1016/j.transproceed.2014.12.025
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Thoracic and Cardiovascular Surgery (흉부외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Tae Hoon(김태훈) ORCID logo https://orcid.org/0000-0003-3598-2529
Park, Chul Hwan(박철환) ORCID logo https://orcid.org/0000-0002-0004-9475
Paik, Hyo Chae(백효채) ORCID logo https://orcid.org/0000-0001-9309-8235
Lee, Sung Soo(이성수) ORCID logo https://orcid.org/0000-0001-8998-9510
Haam, Seok Jin(함석진)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/139648
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